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Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

M. Zhao, L. Wu, Y. Liang, L. Chen, J. Zhang, Q. Deng, K. Wang, X. Shen, T. Lv, and R. Wu. SIGIR, page 50-59. ACM, (2022)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Yile Yang

Liang Liang

Liang-Liang Fu

Qian Liang

Tzan Jing Liang

Other publications of authors with the same name

Intent Disentanglement and Feature Self-supervision for Novel Recommendation.T. Qian, Y. Liang, Q. Li, X. Ma, K. Sun, and Z. Peng. CoRR, (2021)Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions.Y. Liang, D. Li, J. Zhao, X. Ding, H. Lian, J. Hao, and R. He. CIKM, page 4702-4708. ACM, (2023)Enhancing Graph Convolution Network for Novel Recommendation.X. Ma, T. Qian, Y. Liang, K. Sun, H. Yun, and M. Zhang. DASFAA (2), volume 13246 of Lecture Notes in Computer Science, page 69-84. Springer, (2022)Align Reviews with Topics in Attention Network for Rating Prediction.Y. Liang, T. Qian, and H. Yu. DASFAA (3), volume 11448 of Lecture Notes in Computer Science, page 249-253. Springer, (2019)AGTR: Adversarial Generation of Target Review for Rating Prediction.H. Yu, T. Qian, Y. Liang, and B. Liu. Data Sci. Eng., 5 (4): 346-359 (2020)RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System.K. Wang, Z. Zou, M. Zhao, Q. Deng, Y. Shang, Y. Liang, R. Wu, X. Shen, T. Lyu, and C. Fan. SIGIR, page 2935-2944. ACM, (2023)Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.M. Zhao, L. Wu, Y. Liang, L. Chen, J. Zhang, Q. Deng, K. Wang, X. Shen, T. Lv, and R. Wu. SIGIR, page 50-59. ACM, (2022)Harvesting Efficient On-Demand Order Pooling from Skilled Couriers: Enhancing Graph Representation Learning for Refining Real-time Many-to-One Assignments.Y. Liang, J. Zhao, D. Li, J. Feng, C. Zhang, X. Ding, J. Hao, and R. He. CoRR, (2024)ARTAN: Align reviews with topics in attention network for rating prediction.Y. Liang, T. Qian, and H. Yu. Neurocomputing, (2020)Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.Y. Liang, T. Qian, Q. Li, and H. Yin. SIGIR, page 747-756. ACM, (2021)

BibSonomy

Disambiguation of "Liang, Yile"

copy delete add this publication to your clipboard
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URL
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Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Please choose a person to relate this publication to

Yile Yang

Liang Liang

Liang-Liang Fu

Qian Liang

Tzan Jing Liang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Liang, Yile"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Please choose a person to relate this publication to

Yile Yang

Liang Liang

Liang-Liang Fu

Qian Liang

Tzan Jing Liang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.